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Data Science

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Data Analysis

The easiest introduction to data analysis for non-majors

Data analysis sounds a bit grandiose, but it is actually a process of establishing a hypothesis and verifying it based on data. You can learn how to analyze what data to verify your hypothesis using Python.

(4.6) 14 reviews

185 learners

  • learnaday
Python
Pandas
Anaconda

Reviews from Early Learners

What you will learn!

  • Understanding the concepts of data analysis

  • Mastering Pandas, a representative tool for data analysis

  • Mastering Data Analysis Visualization

  • Practice data analysis yourself with various examples

Even non-majors can start data analysis!
Experience the 3-step process of formulating a hypothesis, analyzing data, and testing the hypothesis.

Data analysis is emerging as a key competency in various fields.

Have you been hesitating because you don't know how to code, lack confidence in statistics, or simply don't know where to start? Now, get started with data analysis with Python expert Kim Jeong-wook. He'll help you perform basic data analysis , even if you have no coding experience or statistical background .

1. Python Review and Anaconda Installation

  • We've only heard about data analysis, but what exactly does it mean?
  • Jupyter Notebooks make Python easier to use.
  • A summary of Python grammar essential for data analysis: data types, loops, functions, etc.

2. Learn the data analysis tool Pandas.

  • Pandas, the core of data preprocessing
  • Essential functions that provide information about data at a glance
  • Structure of the data itself vs. structure of individual data
  • Converting data types to analyzable data
  • Delete/add columns with only the data I want
  • Various ways to extract data
  • How should I handle cases where data is empty (missing values)?
  • It's exactly like Excel. Pivot tables made with Pandas.

3. Practice visualization tools Matplotlip and Seaborn with Titanic survivor data.

  • Visualization methods vary depending on the type of data: categorical data vs. numerical data.
  • Two ways to visualize categorical data: pie and countplot.
  • When you want to know the relationship between continuous and categorical data, use Swarmplot and Violinplot.
  • Don't be fooled by averages. There are many different representative values.
  • The most familiar graphs: Varplot and Pointplot
  • I want to see multiple graphs at a glance. How to use Facet Grid.
  • What is the relationship between rates and survival rates? How to determine the correlation between the two variables.

4. Digging into Seoul Grand Park Visitor Data

  • Practical Data Analysis Step 1: Understanding Data Information
  • Practical Data Analysis Step 2: Data Cleaning
  • Changing data types, handling missing data, adding data columns, etc.
  • Step 3: Analyzing Real-World Data: Developing Hypotheses About the Data
  • Step 4: Analyzing Real-World Data: Validating Hypotheses Through Visualization and Statistical Inference

Instructor Introduction

Kim Jeong-wook
Graduated from Sungkyunkwan University, Department of Economics

• Former Danal Future Business Team
• Former Samsung SDS Infrastructure Business Team
• Former Miracom Solution Factory Business Team
• CEO of Soencoding
• Python/data analysis instructor at numerous universities and institutions
• Tensorflow Developer Certificate

Recommended for
these people

Who is this course right for?

  • People who want to start data analysis

  • People who have previously analyzed data using Excel but want to analyze data more easily and efficiently using Python

  • People who want to become familiar with data analysis before learning machine learning/artificial intelligence

Hello
This is

3,287

Learners

208

Reviews

204

Answers

4.8

Rating

6

Courses

인공지능, 머신러닝, 딥러닝의 대중화를 꿈꿉니다.

Curriculum

All

62 lectures ∙ (4hr 25min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

14 reviews

4.6

14 reviews

  • kejint님의 프로필 이미지
    kejint

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    데이터분석 입문을 위한 기본 자료 제공 및 상세한 설명으로 데이터 분석방법과 활용에 대해 자세히 알게 되었습니다.

    • 런어데이
      Instructor

      좋은 평가 감사드립니다^^

  • wkdgns7884님의 프로필 이미지
    wkdgns7884

    Reviews 2

    Average Rating 4.0

    4

    100% enrolled

    쉽게 설명해주셔서 감사합니다.

  • jungwoo.lee님의 프로필 이미지
    jungwoo.lee

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    최고에요!!

  • ksh611님의 프로필 이미지
    ksh611

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    귀에 속쏙 들어오게 설명을 명쾌하게 하시네요~ 감사합니다.

  • jinhyup.kim님의 프로필 이미지
    jinhyup.kim

    Reviews 2

    Average Rating 4.5

    5

    100% enrolled

    Pandas에 대해 기초부터 실습까지 쉽게 알려주세요

$17.60

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